用cygwin实现hadoop 全分布配置
最近在研究hadoop搞了半个月终于实现在window下利用cygwin的全分布配置环境1、hadoop 0.20.22、vista 机器一台 192.168.0.102 机器名:ken-PC(master) winxp 虚拟机 192.168.0.222 机器名:winxp (slaves)步骤1、分别在vista和xp上安装cygw
最近在研究hadoop
搞了半个月终于实现在window下利用cygwin的全分布配置
环境
1、hadoop 0.20.2
2、vista 机器一台 192.168.0.102 机器名:ken-PC(master)
winxp 虚拟机 192.168.0.222 机器名:winxp (slaves)
步骤
1、分别在vista和xp上安装cygwin,分别在两个系统中建立两个名字相同的用户,ken,配置好SSH,确保master机器可以无密码在cygwin上访问slaves机器, 这个网上很多文章有介绍,记得关闭window防火墙,否则无办法互联
2、在vista上安装hadoop,具体配置如下,注意红色字
hadoop-env.sh
# Set Hadoop-specific environment variables here.
# The only required environment variable is JAVA_HOME. All others are
# optional. When running a distributed configuration it is best to
# set JAVA_HOME in this file, so that it is correctly defined on
# remote nodes.
# The java implementation to use. Required.
export JAVA_HOME=/cygdrive/C/soft/Java/jdk1.6.0_12
# Extra Java CLASSPATH elements. Optional.
# export HADOOP_CLASSPATH=
# The maximum amount of heap to use, in MB. Default is 1000.
# export HADOOP_HEAPSIZE=2000
# Extra Java runtime options. Empty by default.
# export HADOOP_OPTS=-server
# Command specific options appended to HADOOP_OPTS when specified
export HADOOP_NAMENODE_OPTS="-Dcom.sun.management.jmxremote $HADOOP_NAMENODE_OPTS"
export HADOOP_SECONDARYNAMENODE_OPTS="-Dcom.sun.management.jmxremote $HADOOP_SECONDARYNAMENODE_OPTS"
export HADOOP_DATANODE_OPTS="-Dcom.sun.management.jmxremote $HADOOP_DATANODE_OPTS"
export HADOOP_BALANCER_OPTS="-Dcom.sun.management.jmxremote $HADOOP_BALANCER_OPTS"
export HADOOP_JOBTRACKER_OPTS="-Dcom.sun.management.jmxremote $HADOOP_JOBTRACKER_OPTS"
# export HADOOP_TASKTRACKER_OPTS=
# The following applies to multiple commands (fs, dfs, fsck, distcp etc)
# export HADOOP_CLIENT_OPTS
# Extra ssh options. Empty by default.
# export HADOOP_SSH_OPTS="-o ConnectTimeout=1 -o SendEnv=HADOOP_CONF_DIR"
# Where log files are stored. $HADOOP_HOME/logs by default.
# export HADOOP_LOG_DIR=${HADOOP_HOME}/logs
# File naming remote slave hosts. $HADOOP_HOME/conf/slaves by default.
# export HADOOP_SLAVES=${HADOOP_HOME}/conf/slaves
# host:path where hadoop code should be rsync'd from. Unset by default.
# export HADOOP_MASTER=master:/home/$USER/src/hadoop
# Seconds to sleep between slave commands. Unset by default. This
# can be useful in large clusters, where, e.g., slave rsyncs can
# otherwise arrive faster than the master can service them.
# export HADOOP_SLAVE_SLEEP=0.1
# The directory where pid files are stored. /tmp by default.
# export HADOOP_PID_DIR=/var/hadoop/pids
# A string representing this instance of hadoop. $USER by default.
# export HADOOP_IDENT_STRING=$USER
# The scheduling priority for daemon processes. See 'man nice'.
# export HADOOP_NICENESS=10
core-site.xml
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!-- Put site-specific property overrides in this file. -->
<configuration>
<property><name>fs.default.name</name><value>hdfs://192.168.0.102:9991</value></property>
<property><name>hadoop.tmp.dir</name><value>/root/hadoopfile/202/coretmp/</value></property>
</configuration>
hdfs-site.xml
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!-- Put site-specific property overrides in this file. -->
<configuration>
<property><name>dfs.replication</name><value>1</value></property>
<property><name>dfs.name.dir</name><value>hadoopfile/name/</value></property>
<property><name>dfs.data.dir</name><value>hadoopfile/data/</value></property>
</configuration>
mapred-site.xml
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!-- Put site-specific property overrides in this file. -->
<configuration>
<property><name>mapred.job.tracker</name><value>192.168.0.102:9992</value></property>
<property><name>mapred.child.tmp</name><value>C:\root\tmp</value></property>
</configuration>
注意:mapred.child.tmp一定要是绝对路径
masters
192.168.0.102
slaves
192.168.0.222
3、在虚拟的winxp上安装hadoop,配置文件内容要与vista上的配置文件内容相同,hadoop 存放的路径也要与vista相同
4、分别在vista和winxp上的host文件添加如下内容
192.168.0.102 ken-PC
192.168.0.222 winxp
大小写敏感
5、在vista上格式化hadoop
6、在vista上启动hadoop
7、在vista上通过http://localhost:50070查看运行情况
8、在vista上运行wordcount示例
首先在hadoop当前目录建立一个input文件
然后在input文件中建立两个text文件,文件内容随意
在cygwin里面输入
运行wordcount
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